Senior Staff / Principal Engineer, Apple Data Platform

The Apple Data Platform team powers analytics and machine learning across Apple. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build data-intensive applications with ease and success.

Our team provides a fully managed Lakehouse solution powered by Apache Iceberg and the Iceberg REST Catalog, interactive querying using Trino and Druid, and data processing using Apache Spark & Flink. Our platform supports both analytical and machine learning workloads across Apple, serving key products and organizations including Siri, Search, Media, iCloud, News, Apple Intelligence, and Maps. We invest in open source technologies, and continuously innovate to meet evolving customer needs and market trends.

We are seeking Principal-level engineers passionate about building world-class infrastructure products. In this role, you will serve as a technical leader on the Data Platform team, guiding team members in both technical and professional growth. You will collaborate closely with cross-functional teams to lead the planning, execution, and success of technical projects, with a focus on enhancing the experience for Apple's internal customers.

The ideal candidate will have outstanding communication skills, proven data infrastructure/platform design and implementation capabilities, strong business acumen, and an innate drive to deliver results. They will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment., 12+ years of experience in design and development of scaling, and operation of distributed systems, including technologies like Apache Spark, Kafka, Flink, Iceberg, and Hive, along with resource management systems like Apache Mesos and Kubernetes.

Proficient in Java or Scala.

Proven expertise in designing and developing scalable, reliable APIs.

A hands-on approach with a willingness to engage in daily technical work.

Contributions to Open-Source projects like Apache Iceberg are a plus.

Skilled at debugging complex issues in large-scale distributed systems.

Driven by a passion for building reliable, maintainable, and user-friendly products and services.

Exceptional communication and collaboration skills, with the ability to work effectively across multiple teams and functions.

Bachelor's, Master's, or Ph.D. in Computer Science or a related technical discipline.

Preferred Qualifications

Contributor to open source technologies like Spark or Iceberg.

Expertise in building Lakehouse for large scale data platforms.

Expertise in public cloud platform's like AWS or GCP.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $201,300 and $367,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.